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| Certification Vendor: | Snowflake |
|---|---|
| Exam Name: | SnowPro Advanced: Architect Certification Exam |
| Exam Number: | ARA-C01 |
| Exam Duration: | 115 minutes |
| Passing Score: | 750 (scaled score out of 1000) |
| Exam Format: | Multiple select, Multiple choice |
| Exam Price: | $375 USD |
| Certificate Validity Period: | 2 years |
| Real Exam Qty: | Approximately 65 |
| Available Languages: | English |
| Related Certifications: | SnowPro Core Certification |
| Recommended Training: | Snowflake Training & Certification Learning Path |
| Exam Registration: | Snowflake Certification Portal |
| Sample Questions: | Snowflake ARA-C01 Sample Questions |
| Exam Way: | Online proctored exam |
| Pre Condition: | SnowPro Core Certification is strongly recommended and often expected before attempting the Advanced Architect exam |
| Official Syllabus URL: | https://www.snowflake.com/certification/ |
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Snowflake ARA-C01 exam is divided into four different sections, each focusing on a specific area of Snowflake architecture. These sections include Snowflake Architecture and Design, Data Warehousing, Data Processing, and Data Integration. ARA-C01 exam is a computer-based test and is administered through a third-party exam provider.
Earning the Snowflake ARA-C01 Certification demonstrates your proficiency in designing and implementing complex data solutions using Snowflake's cloud data platform. It is a testament to your expertise in data warehousing, data integration, and data analytics. SnowPro Advanced Architect Certification certification is recognized globally and provides a competitive advantage in the job market. It also helps you stand out as a leader in the field of data engineering, data architecture, and data management.
Snowflake ARA-C01 (SnowPro Advanced Architect Certification) Certification Exam is a rigorous certification exam that is designed to test an individual's proficiency in the technical aspects of the Snowflake platform. SnowPro Advanced Architect Certification certification exam is targeted at experienced architects and engineers who are looking to validate their knowledge and skills in designing and implementing advanced Snowflake solutions. The Snowflake ARA-C01 exam covers a wide range of topics, including Snowflake architecture, security, performance tuning, data warehousing, and data integration.
NEW QUESTION # 97
How do you refresh a materialized view?
Answer: B
NEW QUESTION # 98
A Snowflake Architect is setting up database replication to support a disaster recovery plan. The primary database has external tables.
How should the database be replicated?
Answer: D
NEW QUESTION # 99
What does a Snowflake Architect need to consider when implementing a Snowflake Connector for Kafka?
Answer: B
Explanation:
The Snowflake Connector for Kafka is a Kafka Connect sink connector that reads data from one or more Apache Kafka topics and loads the data into a Snowflake table. The connector supports different authentication methods to connect to Snowflake, such as key pair authentication, OAUTH, and basic authentication (for example, username and password). The connector also supports different encryption methods, such as HTTPS and SSL1. The connector does not require that every Kafka message is in JSON or Avro format, as it can handle other formats such as CSV, XML, and Parquet2. The default retention time for Kafka topics is not relevant for the connector, as it only consumes the messages that are available in the topics and does not store them in Kafka. The connector will create one table and one pipe to ingest data for each topic by default, but this behavior can be customized by using the snowflake.topic2table.map configuration property3. If the connector cannot create the table or the pipe, it will log an error and retry the operation until it succeeds or the connector is stopped4. References:
* Installing and Configuring the Kafka Connector
* Overview of the Kafka Connector
* Managing the Kafka Connector
* Troubleshooting the Kafka Connector
NEW QUESTION # 100
How can the Snowpipe REST API be used to keep a log of data load history?
Answer: C
Explanation:
Snowpipe is a service that automates and optimizes the loading of data from external stages into Snowflake tables. Snowpipe uses a queue to ingest files as they become available in the stage. Snowpipe also provides REST endpoints to load data and retrieve load history reports1.
The loadHistoryScan endpoint returns the history of files that have been ingested by Snowpipe within a specified time range. The endpoint accepts the following parameters2:
pipe: The fully-qualified name of the pipe to query.
startTimeInclusive: The start of the time range to query, in ISO 8601 format. The value must be within the past 14 days.
endTimeExclusive: The end of the time range to query, in ISO 8601 format. The value must be later than the start time and within the past 14 days.
recentFirst: A boolean flag that indicates whether to return the most recent files first or last. The default value is false, which means the oldest files are returned first.
showSkippedFiles: A boolean flag that indicates whether to include files that were skipped by Snowpipe in the response. The default value is false, which means only files that were loaded are returned.
The loadHistoryScan endpoint can be used to keep a log of data load history by calling it periodically with a suitable time range. The best option among the choices is D, which is to call loadHistoryScan every 10 minutes for a 15-minute time range. This option ensures that the endpoint is called frequently enough to capture the latest files that have been ingested, and that the time range is wide enough to avoid missing any files that may have been delayed or retried by Snowpipe. The other options are either too infrequent, too narrow, or use the wrong endpoint3.
Reference:
1: Introduction to Snowpipe | Snowflake Documentation
2: loadHistoryScan | Snowflake Documentation
3: Monitoring Snowpipe Load History | Snowflake Documentation
NEW QUESTION # 101
What is a characteristic of event notifications in Snowpipe?
Answer: A
Explanation:
Event notifications in Snowpipe are messages sent by cloud storage providers to notify Snowflake of new or modified files in a stage. Snowpipe uses these notifications to trigger data loading from the stage to the target table. When a pipe is paused, event messages received for the pipe enter a limited retention period, which varies depending on the cloud storage provider. If the pipe is not resumed within the retention period, the event messages will be discarded and the data will not be loaded automatically. To load the data, the pipe must be resumed and the COPY command must be executed manually. This is a characteristic of event notifications in Snowpipe that distinguishes them from other options. References: Snowflake Documentation: Using Snowpipe, Snowflake Documentation: Pausing and Resuming a Pipe
NEW QUESTION # 102
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